title: Prevalence of metabolic syndrome and its influencing factors among the Chinese adults: the China Health and Nutrition Survey in 2009.
abstract: OBJECTIVE
  We aimed to estimate the up-to-date prevalence of metabolic syndrome (MS) and its influencing factors among the Chinese adults.
  
  
  METHODS
  Data were obtained from the China Health and Nutrition Survey conducted in 2009, which was a cross-sectional and partially nationally representative study including a total of 7488 Chinese adults (age ≥18 years).
  
  
  RESULTS
  The overall age-standardized prevalence estimates of the MS were 21.3% (95%confidence interval (CI): 20.4%-22.2%), 18.2% (95%CI: 17.3%-19.1%) and 10.5% (95%CI: 9.8%-11.2%) based on definitions of revised NCEP ATPIII, IDF and CDS criteria, respectively. Individuals who were women (compared to men: odds ratio [OR]=1.37, 95% CI=1.16-1.61), 40 years or older (compared to less than 40 years old: OR=2.82, 95%CI=2.37-3.34 for 40-59 years; OR=4.41, 95%CI=3.68-5.29 for 60 years or older), overweight/obese (compared to normal weight: OR=4.32, 95%CI=3.77-4.95 for overweight; OR=11.24, 95%CI=9.53-13.26 for obese), and living in urban area (compared to living in rural area: OR=1.27, 95%CI=1.12-1.43) were more likely to have a higher prevalence estimate of MS. In addition, frequency of alcohol consumption and cigarette intake were also found to be significantly associated with probability of MS.
  
  
  CONCLUSIONS
  Our results suggest an urgent need to develop national strategies for the prevention, detection, treatment and control of obesity and MS in China.
authors.affiliation: Department of Maternal and Child Health Care, School of Public Health, Shandong University, Jinan, China. Electronic address: xibo2007@126.com.
authors.forename: Bo
authors.initials: B
authors.lastname: Xi
authors.forename: Dan
authors.initials: D
authors.lastname: He
authors.forename: Yuehua
authors.initials: Y
authors.lastname: Hu
authors.forename: Donghao
authors.initials: D
authors.lastname: Zhou
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000428:Alcohol Drinking / Q000009:adverse effects / Q000453:epidemiology; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology* / Q000209:etiology; D008875:Middle Aged; D009749:Nutrition Surveys / Q000706:statistics & numerical data; D009765:Obesity / Q000150:complications / Q000453:epidemiology; D050177:Overweight / Q000150:complications / Q000453:epidemiology; D015995:Prevalence; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data; D012737:Sex Factors; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology; D014505:Urban Population / Q000706:statistics & numerical data; D055815:Young Adult
keywords: AHA/NHLBI; Adults; American Heart Association/National Heart, Lung, and Blood Institute; CHNS; CI; CVD; China; China Health and Nutrition Surveys; DBP; HDL-C; IDF; International Diabetes Federation; JIS; MS; Metabolic syndrome; NCEP ATPIII; National Cholesterol Education Program, Adult Treatment Panel III; OR; Obesity; SBP; T2D; TG; WC; cardiovascular disease; confidence interval; diastolic blood pressure; high-density lipoprotein cholesterol; joint interim statement; metabolic syndrome; odds ratio; systolic blood pressure; triglycerides; type 2 diabetes; waist circumference